Quantitative Developer- Intern

Highlight of the engagement opportunity

• Nature of role: Full time Internship (In Office)
• Number of years of experience expected: Freshers.
• Areas of past experience preferred: Quantitative modelling, Risk- modelling
• Educational qualification expected: Graduate/ Pursuinggraduation (Mathematics, Statistics, Quantitative Economics, Actuarial Science)
• Additional qualifications/ certifications required: None
• Preferable additional certifications: FRM/CFA
• Language requirements: Ability to write and speak fluently in English.
• Application experience: Python, C++, MSSQL, PostgreSQL, Hive, Hadoop

Key responsibility areas:

• Develop end to end computation functionalities around statistical techniques, text analytics and machine learning techniques.
• Develop end to end functionalities on financial instrument valuations, risk assessment, scenario analysis and simulations.
• Develop end to end functionalities for modelling macro-economic factors and market prices like Interest rate, Credit Spread, FX, Commodities and Volatility.
• Develop models for financial risk assessment and reporting usingour proprietary no-code application.
• Design and build solutions on proprietary applications according to client requirements.
• Adhere to coding standards and protocols mandated by product organization.
• Drive the day-to-day execution of assigned projects.

Other important information:

• Work permit requirements: Either Indian Citizen or having valid work permit to work in India
• Period of engagement: 3-6 months
• Probation period: 3-6 months
• Compensation: Compensation varies depending on the skill, fitment and role played by the person. Compensation discussions will take place post the selection process.
• Leave: 19 working days a year. Additional leaves for national holidays, sick leaves, maternity and paternity, bereavement and studies vary based on the city and country of engagement.
• Other benefits: Other employment benefits including medical insurance will be informed during the compensation discussion.
• Career growth for full-time roles: Acies believes in a transparent and data-based performance evaluation system. You are encouraged to clarify any questions you have with respect to career growth with Acies personnel you interact with during the selection process.

Selection process:

We seek to be transparent during the selection process. While the actual process may vary from the process indicated below, the key steps involved are as follows:

• Interview: There are expected to be at least 3 rounds of interviews. The number of interview rounds may increase depending on the criticality and seniority of the role involved.
• Final discussion on career and compensation: Post final selection, a separate discussion will be set up to discuss compensation and career growth. You are encouraged to seek any clarifications.

Preparation required:

It is recommended that you prepare some of the following aspects before the selection process:

• Demonstrate proficiency in financial instrument valuation and risk assessment.
• Demonstrate proficiency in statistical, econometrics and time series analysis.
• Demonstrate proficiency in use of back-end server-side languages like Python
• Experience in database technologies like MSSQL/MySQL/PostgreSQL will be preferred.

For any additional queries you may have, you can send a LinkedIn InMail to us, connect with us at https://www.acies.consulting/contact-us.php or e-mail us at [email protected].

How to reach us:

Should you wish to apply for this job, please reach out to us directly through LinkedIn or apply on our website career page - https://www.acies.consulting/careers-apply.html